Michelle Davison

1.5k total citations · 1 hit paper
18 papers, 1.0k citations indexed

About

Michelle Davison is a scholar working on Ecology, Molecular Biology and Plant Science. According to data from OpenAlex, Michelle Davison has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Ecology, 11 papers in Molecular Biology and 5 papers in Plant Science. Recurrent topics in Michelle Davison's work include Microbial Community Ecology and Physiology (7 papers), Bacteriophages and microbial interactions (7 papers) and Genomics and Phylogenetic Studies (6 papers). Michelle Davison is often cited by papers focused on Microbial Community Ecology and Physiology (7 papers), Bacteriophages and microbial interactions (7 papers) and Genomics and Phylogenetic Studies (6 papers). Michelle Davison collaborates with scholars based in United States, Russia and Sri Lanka. Michelle Davison's co-authors include Devaki Bhaya, Rodolphe Barrangou, Daniel S. Fisher, Michael Rosen, Janet Jansson, Kirsten Hofmockel, Ruonan Wu, María Gómez–García, Arthur Grossman and Jason McDermott and has published in prestigious journals such as Science, Nature Communications and PLoS ONE.

In The Last Decade

Michelle Davison

18 papers receiving 1.0k citations

Hit Papers

CRISPR-Cas Systems in Bacteria and Archaea: Versatile Sma... 2011 2026 2016 2021 2011 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michelle Davison United States 11 791 308 209 184 92 18 1.0k
Susanne Erdmann Germany 18 1.1k 1.3× 526 1.7× 233 1.1× 190 1.0× 81 0.9× 34 1.4k
Omer S. Alkhnbashi Germany 16 724 0.9× 170 0.6× 145 0.7× 71 0.4× 54 0.6× 40 809
Matthew B. Sullivan United States 10 444 0.6× 527 1.7× 48 0.2× 297 1.6× 127 1.4× 11 875
Pengxia Wang China 15 377 0.5× 185 0.6× 127 0.6× 67 0.4× 114 1.2× 34 649
Francesco Vezzi Sweden 17 527 0.7× 125 0.4× 215 1.0× 233 1.3× 28 0.3× 26 944
Garry A. Duncan United States 15 552 0.7× 500 1.6× 64 0.3× 260 1.4× 48 0.5× 26 1.1k
Aurélien Barré France 18 523 0.7× 228 0.7× 88 0.4× 412 2.2× 27 0.3× 29 1.2k
Steve D. Oh United States 10 1.2k 1.5× 166 0.5× 91 0.4× 286 1.6× 22 0.2× 10 1.5k
Heather Hendrickson United States 13 454 0.6× 244 0.8× 275 1.3× 102 0.6× 59 0.6× 25 698
Julie Jeukens Canada 19 658 0.8× 299 1.0× 387 1.9× 167 0.9× 160 1.7× 33 1.2k

Countries citing papers authored by Michelle Davison

Since Specialization
Citations

This map shows the geographic impact of Michelle Davison's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michelle Davison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Davison more than expected).

Fields of papers citing papers by Michelle Davison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle Davison. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michelle Davison. The network helps show where Michelle Davison may publish in the future.

Co-authorship network of co-authors of Michelle Davison

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Davison. A scholar is included among the top collaborators of Michelle Davison based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michelle Davison. Michelle Davison is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
McClure, Ryan, Albert Rivas‐Ubach, Kim Hixson, et al.. (2025). Multi-omics of a model bacterial consortium deciphers details of chitin decomposition in soil. mBio. 16(7). e0040425–e0040425. 1 indexed citations
2.
Wu, Ruonan, Michelle Davison, William Nelson, et al.. (2023). Hi-C metagenome sequencing reveals soil phage–host interactions. Nature Communications. 14(1). 7666–7666. 41 indexed citations
3.
Wu, Ruonan, Michelle Davison, Mary Lipton, et al.. (2023). High-Throughput Chromosomal Conformation Capture (Hi-C) Metagenome Sequencing Reveals Soil Moisture Impacts on Phage-Host Interactions. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
4.
Davison, Michelle, et al.. (2023). Shaping Nanobodies and Intrabodies against Proteoforms. Analytical Chemistry. 95(23). 8747–8751. 4 indexed citations
5.
Wu, Ruonan, et al.. (2022). RNA Viruses Linked to Eukaryotic Hosts in Thawed Permafrost. mSystems. 7(6). e0058222–e0058222. 15 indexed citations
6.
Wu, Ruonan, Michelle Davison, Yuqian Gao, et al.. (2021). Moisture modulates soil reservoirs of active DNA and RNA viruses. Communications Biology. 4(1). 992–992. 38 indexed citations
7.
Wu, Ruonan, Michelle Davison, Yuqian Gao, et al.. (2021). Moisture Modulates Soil Reservoirs of Active DNA and RNA Viruses. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
8.
McClure, Ryan, Dan Naylor, Michelle Davison, et al.. (2020). Development and Analysis of a Stable, Reduced Complexity Model Soil Microbiome. Frontiers in Microbiology. 11. 1987–1987. 22 indexed citations
9.
Rosen, Michael, Michelle Davison, Daniel S. Fisher, & Devaki Bhaya. (2018). Probing the ecological and evolutionary history of a thermophilic cyanobacterial population via statistical properties of its microdiversity. PLoS ONE. 13(11). e0205396–e0205396. 10 indexed citations
10.
Davison, Michelle, Mike Watson, Leesa Wockner, & Frances B. Kinnear. (2017). Paediatric high‐flow nasal cannula therapy in children with bronchiolitis: A retrospective safety and efficacy study in a non‐tertiary environment. Emergency Medicine Australasia. 29(2). 198–203. 22 indexed citations
11.
Silas, Sukrit, Kira S. Makarova, Sergey Shmakov, et al.. (2017). On the Origin of Reverse Transcriptase-Using CRISPR-Cas Systems and Their Hyperdiverse, Enigmatic Spacer Repertoires. mBio. 8(4). 46 indexed citations
12.
Davison, Michelle, Todd J. Treangen, Sergey Koren, Mihai Pop, & Devaki Bhaya. (2016). Diversity in a Polymicrobial Community Revealed by Analysis of Viromes, Endolysins and CRISPR Spacers. PLoS ONE. 11(9). e0160574–e0160574. 14 indexed citations
13.
Rosen, Michael, Michelle Davison, Devaki Bhaya, & Daniel S. Fisher. (2015). Fine-scale diversity and extensive recombination in a quasisexual bacterial population occupying a broad niche. Science. 348(6238). 1019–1023. 95 indexed citations
14.
Davison, Michelle, Eric Hall, Richard N. Zare, & Devaki Bhaya. (2014). Challenges of metagenomics and single-cell genomics approaches for exploring cyanobacterial diversity. Photosynthesis Research. 126(1). 135–146. 9 indexed citations
15.
Bhaya, Devaki, Michelle Davison, & Rodolphe Barrangou. (2011). CRISPR-Cas Systems in Bacteria and Archaea: Versatile Small RNAs for Adaptive Defense and Regulation. Annual Review of Genetics. 45(1). 273–297. 658 indexed citations breakdown →
16.
Li, Cheuk‐Wing, Huiling Wu, Michelle Davison, et al.. (2010). Whole gene amplification and protein separation from a few cells. Analytical Biochemistry. 411(1). 64–70. 9 indexed citations
17.
Gómez–García, María, et al.. (2010). Alternative pathways for phosphonate metabolism in thermophilic cyanobacteria from microbial mats. The ISME Journal. 5(1). 141–149. 53 indexed citations
18.
Watson, Judith, et al.. (1991). Maintenance of Space Station Freedom - The role of mission controllers. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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